BioMed Research International

Volume 2013 (2013), Article ID , 7 pages

http://dx.doi.org/10.1155/2013/459168

Clinical Study

Aorta Structural Alterations in Term Neonates: The Role of Birth and Maternal Characteristics

Marco Matteo Ciccone,¹ Pietro Scicchitano,¹ Christian Salerno,² Michele Gesualdo,¹ Fara Fornarelli,¹ Annapaola Zito,¹ Lucia Filippucci,³ Roberta Riccardi,¹ Francesca Cortese,¹ Francesca Pini,⁴ Lucia Angrisani,⁴ Antonio Di Mauro,⁴ Federico Schettini,⁴ and Nicola Laforgia⁴

¹Cardiovascular Disease Section, Department of Emergency and Organ Transplantation, University of Bari, Piazza G. Cesare 11, 70124 Bari, Italy

²Dipartimento di Medicina Traslazionale-Laboratorio Igiene ed Medicina Ambientale, University of Piemonte Orientale A. Avogadro, Via Duomo 6, 13100 Vercelli, Italy

³Department of Cardiovascular Disease Rehabilitation, U.S.L.2, Via Guerra 21, 06127 Perugia, Italy

⁴Neonatology and Neonatal Intensive Care Section, Department of Gynecology, Obstetrics and Neonatology, University of Bari, Piazza G. Cesare 11, 70124 Bari, Italy

Received 5 April 2013; Revised 28 June 2013; Accepted 8 July 2013

Academic Editor: Egle Bytautiene

Copyright © 2013 Marco Matteo Ciccone et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Aim. To evaluate the influence of selected maternal and neonatal characteristics on aorta walls in term, appropriately grown-for-gestational age newborns. Methods. Age, parity, previous abortions, weight, height, body mass index before and after delivery, smoking, and history of hypertension, of diabetes, of cardiovascular diseases, and of dyslipidemia were all assessed in seventy mothers. They delivered 34 males and 36 females healthy term newborns who underwent ultrasound evaluation of the anteroposterior infrarenal abdominal aorta diameter (APAO), biochemical profile (glucose, insulin, total cholesterol, HDL and LDL cholesterol, triglycerides, fibrinogen, and D-dimers homeostasis model assessment [HOMAIR]index), and biometric parameters. Results. APAO was related to newborn length (; ), head circumference (; ), gestational age (, ), HOMA index (; ), and D-dimers (, ). Smoke influenced APAO values (odds ratio: 1.80; confidence interval 95%: 1.05–3.30), as well as diabetes during pregnancy (, ). Maternal height influenced neonatal APAO (, ). Multiple regression analysis outlined neonatal D-dimers as still significantly related to neonatal APAO values. Conclusions. Many maternal and neonatal characteristics could influence aorta structures. Neonatal D-dimers are independently related to APAO.

1. Introduction

Cardiovascular diseases (CVD) are still the major cause of death in developing countries, including China and India [1]. Primary prevention programs, instrumental evolution, pharmacological treatments, and lifestyle changes reduce CVD mortality compared to the 1960s data [2]. Nevertheless, CVD start since childhood. Since 1990s, the attention of physicians moved on the early stages of life [3]. The Cardiovascular Risk in Young Finns [3] was one of the first studies systematically evaluating the role of different conditions (i.e., family dietary habits and standard of education and diet of mothers) on the future cardiovascular risk profile of 3,596 children.

Dalziel et al. [4] demonstrated that adult patients born moderately preterm have increased blood pressure and insulin resistance at 30 years of age. Preterm birth rather than poor fetal growth seemed to be the major determinant of this association, although many epidemiological studies showed that low birth weight was independently associated with subsequent cardiovascular disease risk factors and increased incidence of cardiovascular disease in adulthood [5, 6]. The “fetal programming” during critical phases of development in utero could be responsible for metabolic disturbances in adult life and long-term structural changes of the vascular system [7–9].

Neonatal and maternal characteristics could early influence atherosclerosis development. Anteroposterior diameter of infrarenal abdominal aorta (APAO) is a reliable and well-established ultrasound parameter to detect early impairment of vascular structure since childhood [10, 11].

The aim of this study was to evaluate the influence of some selected maternal and neonatal characteristics on aorta walls (evaluated by mean of APAO) in term, appropriately grown-for-gestational age (AGA) newborns.

2. Methods

2.1. Subjects

Seventy mother-newborn pairs admitted, respectively, to the Obstetric Section and Neonatology and Neonatal Intensive Care of the Department of Gynecology, Obstetrics and Neonatology of the University of Bari were enrolled in the study.

The study was approved by the Institutional Review Board of Bari University General Hospital and carried out in accordance with the principles of the Helsinki Declaration.

2.1.1. Newborns Characteristics

There were 34 males and 36 females healthy newborns, born at term (after 37 completed weeks of gestation), 38 by vaginal delivery, and 32 by C-section. Mean gestational age was weeks, mean birth weight  g (between 10th and 90th percentile as established by gender and gestational age-specific national charts [12], AGA), mean length  cm, and head circumference  cm. They all had normal transition (Apgar 5′ ≥  7). Newborns with any congenital malformations were excluded.

After informed consent, all newborns had ultrasound evaluation of the APAO, and biochemical profile was obtained on the blood taken at birth from umbilical cord. Blood samples had been performed early at morning (between 8 : 00 a.m. and 9 : 00 a.m.) after an overnight fast on the same day of the ultrasound.

APAO evaluations were done, within 24 hours after delivery, with the newborn in supine position, during a routine daytime rest period, in a warm environment (20-21°C). It was performed by a single operator using a single high-resolution vascular ultrasound Philips 5500 equipped with a 3 MHz electronic probe. To improve the image acquisition, neonates were examined at least 4–6 hours after breastfeeding to reduce intestinal bloating. The electronic probe was placed one centimeter left of the umbilicus. Then the best image in long-axis projection of the abdominal aorta was obtained. The APAO was defined as the maximal external cross-sectional diameter measurement of the infrarenal abdominal aorta. It was calculated as the distance between the near and the far walls of the abdominal aorta. Measurements were performed 1 cm above and distal to the umbilicus and expressed in centimeters [10, 11]. Repeatability and intraobserver variability of all ultrasound scan measurements were evaluated by means of intraclass correlation coefficient of >0.90. In particular, anteroposterior diameter showed good reproducibility with an intraclass correlation coefficient of 0.92.

Biochemical profile included glucose, insulin, total cholesterol, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, triglycerides, fibrinogen, and D-dimers determinations. Insulin resistance was calculated by the homeostasis model assessment (HOMAIR) [13, 14].

2.1.2. Maternal Characteristics

For each mother, data on age, parity, previous abortions, weight, height, and body mass index [weight (kg)]/[height (m)]² before and after delivery were collected. Using a combination of clinical interviews and obstetric records, information about familiar history for hypertensive, diabetic, cardiovascular diseases, and dyslipidemic conditions were also obtained. Mothers were considered as smoker if they smoked at least five cigarettes/day within 3 months before delivery or if they stopped smoking <1 year before delivery. There were no inclusion criteria for the mothers, except to have delivered an AGA term newborn. 111 mothers and related newborns were consecutively enrolled, but 70 delivered AGA term newborn.

2.2. Statistical Analysis

The continuous variables were expressed as mean and standard deviation.

Categorical data had been evaluated by means of odds estimation and CI 95 had been used in order to assess statistical significance. The Pearson’s linear correlation coefficient was used to study the relationship between the continuous variables. Multiple regression analysis had been adopted in order to evaluate the influence of confounding factors on APAO evaluation. A was considered statistically significant.

3. Results

Maternal mean age was years. Body mass index before delivery was within normal limits ( Kg/m²). There were 19 smokers (27%). Nine (13%) had gestational diabetes, and 6 (9%) and 3 (4%) haddyslipidemia. 22 (31%) had one or more previous abortions and 5 (7%) had 2 or more previous pregnancies. Familiarity for hypertension, cardiovascular diseases, dyslipidemic conditions, and diabetes are shown in Table 1.

Table 1: Maternal characteristics.

Values (%)

Total number
70

Age (years)

Familiarity for diabetes

    None
32 (46)

    I degree relatives
10 (14)

    II degree relatives
28 (40)

Familiarity for cardiovascular diseases

    None
39 (56)

    I degree relatives
19 (27)

    II degree relatives
12 (17)

Familiarity for hypertension

    None
35 (50)

    I degree relatives
27 (39)

    II degree relatives
8 (11)

Familiarity for dyslipidemia

    None
47 (67)

    I degree relatives
17 (24)

    II degree relatives
6 (9)

Previous abortions
22 (31)

No. of pregnancy >2
5 (7)

Smoking
19 (27)

Hypertension
6 (9)

Diabetes
9 (13)

Dyslipidemia
3 (4)

BMI before pregnancy (Kg/m²)

Weight before pregnancy (Kg)

Weight after pregnancy (Kg)

Height before pregnancy (cm)

Values are expressed as numbers and related percentages. BMI: body mass index.

Neonatal data are shown in Table 2. Mean APAO value was  cm.

Table 2: Neonatal characteristics.

Values (%)

Total number
70

Male gender
34 (49)

Gestational age (weeks)
39.2 ± 1.2

Weight at delivery (gr)
3289.3 ± 341.2

Length at delivery (cm)
49.5 ± 2.2

Head circumference (cm)
34.0 ± 1.2

APAO (cm)
4.76 ± 0.98

D-dimers (µg/mL)
332.5 ± 648.5

PT-INR
1.6 ± 0.7

Fibrinogen (mg/dL)
210.9 ± 49.5

APGAR 5′
9.7 ± 1.1

Glycemia (mg/dL)
48.9 ± 25.2

Insulin (µUI/mL)
3.8 ± 1.4

HOMA index
0.59 ± 0.98

Total cholesterol (mg/dL)
73.9 ± 27.2

LDL-cholesterol (mg/dL)
29.3 ± 14.0

HDL-cholesterol (mg/dL)
30.6 ± 12.6

Triglycerides (mg/dL)
70.9 ± 45.5

Spontaneous delivery
38 (54)

Caesarean delivery
32 (46)

Values are expressed as numbers and percent. APAO: anteroposterior abdominal aorta diameter; APGAR 5′: American Pediatric Gross Assessment Record at 5 minutes; HDL: high-density lipoprotein; HOMA: homeostatic model assessment; LDL: low-density lipoproteins; PT-INR: prothrombin time-international normalized ratio.

Pearson’s linear regression has been used to assess any relationships between APAO values and maternal characteristics (Table 3). Furthermore, odds ratio and their relatives confidential intervals had been calculated for main dichotomous maternal variables considered (Table 4). Pearson’s linear regression has been used to assess any relationships between APAO values and neonatal characteristics (Table 5).

Table 3: Linear correlation analysis between neonatal antero-posterior abdominal aorta diameter (APAO) and main maternal variables considered.

Maternal variables
Correlation coefficient ()
value

Mean age
+0.22
0.06

Total amount of pregnancy

0.19

Eclampsia

0.98

Hypertension

0.97

Diabetes
+0.42
0.0002

Dyslipidaemia

0.98

BMI before pregnancy

0.45

BMI after delivery

0.21

Height
+0.47
0.00003

Weight before delivery

0.16

Weight after delivery
+0.24
0.04

APAO: anteroposterior abdominal aorta diameter; BMI: body mass index; CVD: cardiovascular diseases.

Table 4: Odds ratio evaluations between neonatal antero-posterior abdominal aorta diameter (APAO) and main dichotomous maternal variables considered.

Findings
Odds ratio
95% CI

Smoke
1.80
1.05–3.30

CVD familiarity
0.78
0.47–1.29

Diabetes familiarity
0.59
0.35–1.01

Dyslipidaemia familiarity
1.18
0.70–1.92

Hypertension familiarity
0.82
0.50–1.35

CI: confidential interval; CVD: cardiovascular disease.

Table 5: Linear correlation analysis between neonatal antero-posterior abdominal aorta diameter (APAO) and main neonatal variables considered.

Neonatal variables
Correlation coefficient ()
value

Gestational age
+0.40
0.0005

Weight

0.77

Length
+0.36
0.001

Head circumference
+0.37
0.001

PT-INR

0.17

Fibrinogen

0.24

D-dimers
+0.33
0.004

APGAR 5′

0.12

Glycemia

0.18

Insulin
+0.22
0.056

HOMA index
+0.24
0.04

HDL-cholesterol

0.35

LDL-cholesterol

0.56

Total-cholesterol

0.52

Triglycerides

0.56

APAO: anteroposterior abdominal aorta diameter; APGAR 5′: American Pediatric Gross Assessment Record at 5 minutes; HDL: high-density lipoprotein; HOMA: homeostatic model assessment; LDL: low-density lipoproteins; PT-INR: prothrombin time-international normalized ratio.

APAO is directly related both to newborn length (; ) and head circumference (; ) at birth but not to birth weight (Table 5), and it is also strongly related to gestational age (, ).

Interestingly, APAO is positively related to HOMA index (; ), that is, an early marker of atherosclerosis (Table 5), while no correlation between APAO and insulin (; ) was found. No correlations have been found between lipids blood levels and coagulation parameters (fibrinogen and prothrombin time-international normalized ratio [PT-INR]) with APAO values, but D-dimers (, ) (Figure 1).

Figure 1: Linear regression analysis comparing anteroposterior abdominal aorta diameter and newborns D-dimers levels.

Important data come from the analysis of correlations between maternal characteristics and APAO. Smoking habit is a strong predictor of greater APAO values [Odds Ratio (OR): 1.80 (CI 95%: 1.05–3.30)]; thus, smoking could already exert a deleterious effect on the cardiovascular system of newborns. Even dyslipidemia familiarity seems to be slightly related to APAO increase [OR: 1.18 (CI 95%: 0.70–1.92)]. The same effect resulted for diabetes during pregnancy (, ).

Maternal height influences neonatal APAO (, ) while BMI before delivery and/or weight before delivery do not.

Because of multiple associations between maternal and neonatal characteristics with neonatal APAO, we performed a multivariate regression (Table 6). Only neonatal D-dimers were still significantly related to neonatal APAO values.

Table 6: Multivariate correlation analysis between neonatal antero-posterior abdominal aorta diameter (APAO) and main maternal and neonatal variables considered.

Coefficient
Standard error
value

Model 1

Maternal variables

    Maternal age
−0.006
0.023
0.808187

    BMI-after
0.018
0.029
0.538889

    Height
0.031
0.020
0.119716

    Smoke
0.337
0.283
0.239169

    CVD familiarity
0.022
0.180
0.901925

    Diabetes familiarity
−0.169
0.150
0.264693

    Dyslipidaemia familiarity
0.051
0.212
0.810230

    Hypertension familiarity
−0.051
0.205
0.803890

    Eclampsia
−0.019
0.531
0.970903

    Total pregnancies
−0.188
0.157
0.237714

    Type of delivery (spontaneous/caesarean)
−0.218
0.220
0.324930

Model 2

Neonatal variables

    Gestational age
0.053
0.117
0.651170

    Length
−0.029
0.059
0.632319

    Weight
0.000
0.000
0.553384

    Head circumference
−0.051
0.111
0.649230

    PT-INR
0.105
0.174
0.548517

    D-dimers
0.001
0.000
0.010114

    Fibrinogen
−0.001
0.003
0.827094

    Total cholesterol
−0.049
0.055
0.375519

    HDL-cholesterol
0.029
0.055
0.594972

    LDL-cholesterol
0.055
0.058
0.347597

    Triglycerides
0.009
0.012
0.441564

    Glycemia
−0.004
0.007
0.518465

    Insulin
−0.048
0.090
0.593545

    HOMA index
0.153
0.498
0.759908

APAO: anteroposterior abdominal aorta diameter; BMI: body mass index; CVD: cardiovascular diseases; HDL: high-density lipoprotein; HOMA: homeostatic model assessment; LDL: low-density lipoproteins; PT-INR: prothrombin time-international normalized ratio.

4. Discussion

In the last two decades, the scientific international community investigated the early phases of life as the moment from which atherosclerosis process could be outlined and, maybe, forced to reduce its development [3, 6]. The efforts to discover early markers of atherosclerosis since childhood lead to a new era of noninvasive technologies able to find the first moments of such a disabling process such as echocardiographic-Doppler evaluations [15], carotid intima-media thickness, flow-mediated vasodilatation, and APAO [10, 11, 16]. Our study aim was to evaluate the influence of maternal and neonatal characteristics on APAO in order to evaluate possible early factors of abdominal aorta walls alterations, that is, the beginning of atherosclerotic disease. APAO is an indicator of an earlier vascular remodeling and a high aortic stiffness, and it is therefore associated with a widespread vascular disease. It can be used to monitor patients at risk, even children [10, 11]. At the best of our knowledge, few studies have evaluated APAO in newborns.

Shankaran et al. [17] demonstrated a tight relationship between some maternal (smoke habits during pregnancy, alcohol intake, drug-addiction, etc.) and neonatal (birth weight, gender, etc.) characteristics with the cardiovascular risk profile evaluated at a 6-years followup. They were all term newborns, but the study showed the increase of blood pressure at 6 years of age only in those with intrauterine growth restriction (IUGR). Our study included only AGA infants and different maternal and neonatal characteristics, because it is already known that preterm delivery and/or IUGR are both factors able to increase the future cardiovascular risk [18, 19].

Some authors [20, 21] pointed out that maternal weight is a predictive factor for coronary heart diseases in adulthood and Poston [22] showed that gestational weight gain could influence long-term health of the neonate. Our study did not demonstrate a relationship between APAO and maternal weight and body mass index before delivery. We further showed a relationship between APAO and maternal height.

Our finding of a relationship between neonatal APAO and maternal smoking habits suggests that maternal smoking can cause an increased cardiovascular risk, already since birth [23–25]. Anna-Karin et al. [23] have found that maternal smoking is related to reduced descending aorta diameter in preterm newborns. Nevertheless, Anna-Karin et al. considered preterm newborns who had different physiological conditions than term neonates. Furthermore, their regression analysis did not consider all the confounding factors able to influence the predictability of the results, except gender and smoking. Differently from Anna-Karin et al., we have only evaluated term newborns, by considering all the parameter able to influence the relationship. At a linear analysis, smoking increased abdominal aorta intima-media thickness [24], probably through endocrine modifications, involving serum insulin-like growth factor-I (IGF-I) and insulin-like growth factor binding protein-3 (IGFBP-3) levels and actions [23] or by inducing a long-lasting “reprogramming” of the blood pressure control mechanisms [25], but the evaluation was not confirmed after adjustment for confounding variables. Nevertheless, as the hypothesis of Anna-Karin et al. about a reduced flow in placental circulation due to smoke could have influenced the reduced diameter found at abdominal aortic level, the same vascular alterations induced by smoke could enlarge the aortic diameter. For this reason further studies are needed in order to make such a matter clearer.

The relationship between APAO and coagulation parameters shows a statistically significant relationship between abdominal aorta diameter and D-dimers, the end product of stabilized fibrin degradation, whose values are higher in newborns compared to children and adults. D-dimers derive from the fibrin degradation through fibrinolysis process activation. It is encountered among those haemostatic tests able to improve the detection of coagulation process activation. Giannitsis et al. [26] already demonstrated the relationship between haemostatic factors and coronary artery diseases. Krupinski et al. [27] found an increased value of D-dimers in patients undergoing carotid endarterectomy: unstable plaques, in fact, seemed to show a higher fibrin intraplaque turnover able to induce an augmentation of D-dimers products, thus making D-dimers a surrogate marker of plaque instability. Clinical data recently indicated an association between elevated levels of D-dimers and the risk of subsequent clinical manifestations of cardiovascular disease [28]. The relationship between APAO and D-dimers in neonates is similar to the data from Empana et al. [28] in adults, and it has been confirmed by multivariate regression analysis. Thus, D-dimers could really become a marker of vessels walls instability and modification of their inner morphological structure since first days of life. At the best of our knowledge, no study have showed these results, but further studies are needed.

Furthermore, our data outlined a direct relationship between other neonatal parameters and APAO.

In particular, gestational age (; ), length (; ), head circumference (; ), and HOMA index (; ) are all related to APAO.

Late gestational age is related to increased cardiovascular risk [29]. Our data seem to corroborate the literature findings: late gestational age is associated with increased cardiovascular risk. Nevertheless, biometrics in newborns’ development is an important factor linked to cardiovascular risk. Touwslager et al. [30] demonstrated that birth weight, length, and head circumference of the infants were associated with impaired endothelial vasodilatation, that is, an early marker of atherosclerosis. Our findings seem to complete those of Touwslager et al.: we demonstrated that birth weight, length, and head circumference were all related to morphological alterations of the newborns’ vasculature. This means that such neonatal parameters when altered could be considered as expression of morphological and functional early alterations of cardiovascular system; thus, they really increase cardiovascular risk profile of each individual.

In contrast with other studies [30, 31], we have not found that birth weight influences APAO.

APAO in our study population (term AGA newborns) is related to HOMAIR-index, similarly to what Simental-Mendía et al. [32] have demonstrated in small-for-gestational age (SGA) and large-for-gestational age (LGA). HOMAIR index is a fundamental parameter calculated in order to evaluate one’s insulin resistance condition. According to Gesteiro et al. data [33], our newborns showed normal values of HOMAIR index in agreement with their age. Insulin resistance is already known to damage vessels walls by accelerating atherosclerotic process. Iannuzzi et al. [34] demonstrated an increased aortic stiffness related to HOMAIR values. Nevertheless, these data involved obese children, while no data concerned newborns. At the best of our knowledge, this is the first study showing a direct relationship between insulin resistance increase and damages to aortic walls since the first moments of individuals’ life. This means that physicians should better control pancreatic function of newborns in order to prevent further damages to cardiovascular system.

5. Conclusions

Despite the small sample size, we obtained a preliminary evaluation of the relationship between maternal and neonatal characteristics and the cardiovascular system of the newborn, evaluated as APAO, an excellent, noninvasive and reproducible tool able to evaluate the cardiovascular risk profile in newborns. Further researches are needed in order to improve our findings.

Conflict of Interests

The authors declare that there is no conflict of interests.

References

D. S. Celermajer, C. K. Chow, E. Marijon, N. M. Anstey, and K. S. Woo, “Cardiovascular disease in the developing world: prevalences, patterns, and the potential of early disease detection,” Journal of the American College of Cardiology, vol. 60, pp. 1207–1216, 2012.

M. O'Flaherty, I. Buchan, and S. Capewell, “Contributions of treatment and lifestyle to declining CVD mortality: why have CVD mortality rates declined so much since the 1960s?” Heart, vol. 99, pp. 159–162, 2013.

J. Viikari, H. K. Akerblom, L. Rasanen, M. Kalavainen, and O. Pietarinen, “Cardiovascular risk in young Finns: experiences from the Finnish multicentre study regarding the prevention of coronary heart disease,” Acta Paediatrica Scandinavica, Supplement, vol. 79, no. 365, pp. 13–19, 1990.

S. R. Dalziel, V. Parag, A. Rodgers, and J. E. Harding, “Cardiovascular risk factors at age 30 following pre-term birth,” International Journal of Epidemiology, vol. 36, no. 4, pp. 907–915, 2007.

S. P. Efstathiou, I. I. Skeva, E. Zorbala, E. Georgiou, and T. D. Mountokalakis, “Metabolic syndrome in adolescence can it be predicted from natal and parental profile? the prediction of metabolic syndrome in adolescence (PREMA) study,” Circulation, vol. 125, no. 7, pp. 902–910, 2012.

M. G. Frontini, S. R. Srinivasan, J. Xu, and G. S. Berenson, “Low birth weight and longitudinal trends of cardiovascular risk factor variables from childhood to adolescence: the bogalusa heart study,” BMC Pediatrics, vol. 4, article 22, 2004.

R. E. Fisher, M. Steele, and N. A. Karrow, “Fetal programming of the neuroendocrine-immune system and metabolic disease,” Journal of Pregnancy, vol. 2012, Article ID 792934, 10 pages, 2012.

N. Koleganova, K. Benz, G. Piecha, E. Ritz, and K. Amann, “Renal, cardiovascular and metabolic effects of fetal programming,” Nephrology Dialysis Transplantation, vol. 27, pp. 3003–3007, 2012.

J. R. Ingelfinger and A. M. Nuyt, “Impact of fetal programming, birth weight, and infant feeding on later hypertension,” Journal of Clinical Hypertension, vol. 14, pp. 365–371, 2012.

M. M. Ciccone, V. Miniello, R. Marchioli et al., “Morphological and functional vascular changes induced by childhood obesity,” European Journal of Cardiovascular Prevention and Rehabilitation, vol. 18, no. 6, pp. 831–835, 2011.

M. M. Ciccone, S. Favale, A. Bhuva et al., “Anteroposterior diameter of the infrarenal abdominal aorta is higher in women with polycystic ovary syndrome,” Vascular Health and Risk Management, vol. 5, pp. 561–566, 2009.

E. Bertino, E. Spada, L. Occhi et al., “Neonatal anthropometric charts: the Italian neonatal study compared with other European studies,” Journal of Pediatric Gastroenterology and Nutrition, vol. 51, no. 3, pp. 353–361, 2010.

E. Bonora, G. Targher, M. Alberiche et al., “Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity,” Diabetes Care, vol. 23, no. 1, pp. 57–63, 2000.

E. Gesteiro, S. Bastida, and F.-J. Sánchez Muniz, “Effects of maternal glucose tolerance, pregnancy diet quality and neonatal insulinemia upon insulin resistance/sensitivity biomarkers in normoweight neonates,” Nutricion Hospitalaria, vol. 26, no. 6, pp. 1447–1455, 2011.

M. M. Ciccone, P. Scicchitano, A. Zito et al., “Different functional cardiac characteristics observed in term/preterm neonates by echocardiography and tissue doppler imaging,” Early Human Development, vol. 87, no. 8, pp. 555–558, 2011.

G. Mercuro, P. P. Bassareo, G. Flore, et al., “Prematurity and low weight at birth as new conditions predisposing to an increased cardiovascular risk,” European Journal of Preventive Cardiology, vol. 20, pp. 357–367, 2013.

S. Shankaran, A. Das, C. R. Bauer et al., “Fetal origin of childhood disease: intrauterine growth restriction in term infants and risk for hypertension at 6 years of age,” Archives of Pediatrics and Adolescent Medicine, vol. 160, no. 9, pp. 977–981, 2006.

D. Ley, H. Stale, and K. Marsal, “Aortic vessel wall characteristics and blood pressure in children with intrauterine growth retardation and abnormal foetal aortic blood flow,” Acta Paediatrica, International Journal of Paediatrics, vol. 86, no. 3, pp. 299–305, 1997.

N. Evans, J. Hutchinson, J. M. Simpson, D. Donoghue, B. Darlow, and D. Henderson-Smart, “Prenatal predictors of mortality in very preterm infants cared for in the Australian and New Zealand Neonatal Network,” Archives of Disease in Childhood, vol. 92, no. 1, pp. F34–F40, 2007.

T. Forsén, J. G. Eriksson, J. Tuomilehto, K. Teramo, C. Osmond, and D. J. P. Barker, “Mother's weight in pregnancy and coronary heart disease in a cohort of Finnish men: follow up study,” British Medical Journal, vol. 315, no. 7112, pp. 837–840, 1997.

M. R. Skilton, “Intrauterine risk factors for precocious atherosclerosis,” Pediatrics, vol. 121, no. 3, pp. 570–574, 2008.

L. Poston, “Gestational weight gain: influences on the long-term health of the child,” Current Opinion in Clinical Nutrition & Metabolic Care, vol. 15, pp. 252–257, 2012.

E. B. Anna-Karin, J. JohanBengtsson, Z. Nagy, H. De Keyzer, and M. Norman, “Preterm birth and maternal smoking in pregnancy are strong risk factors for aortic narrowing in adolescence,” Acta Paediatrica, International Journal of Paediatrics, vol. 97, no. 8, pp. 1080–1085, 2008.

T. Gunes, E. Koklu, A. Yikilmaz et al., “Influence of maternal smoking on neonatal aortic intima-media thickness, serum IGF-I and IGFBP-3 levels,” European Journal of Pediatrics, vol. 166, no. 10, pp. 1039–1044, 2007.

G. Cohen, H. Jeffery, H. Lagercrantz, and M. Katz-Salamon, “Long-term reprogramming of cardiovascular function in infants of active smokers,” Hypertension, vol. 55, no. 3, pp. 722–728, 2010.

E. Giannitsis, H. J. Siemens, R. Mitusch et al., “Prothrombin fragments F1+2, thrombin-antithrombin III complexes, fibrin monomers and fibrinogen in patients with coronary atherosclerosis,” International Journal of Cardiology, vol. 68, no. 3, pp. 269–274, 1999.

J. Krupinski, E. Catena, M. Miguel et al., “D-dimer local expression is increased in symptomatic patients undergoing carotid endarterectomy,” International Journal of Cardiology, vol. 116, no. 2, pp. 174–179, 2007.

J.-P. Empana, F. Canoui-Poitrine, G. Luc et al., “Contribution of novel biomarkers to incident stable angina and acute coronary syndrome: the PRIME Study,” European Heart Journal, vol. 29, no. 16, pp. 1966–1974, 2008.

M. Altman, A. K. Edstedt Bonamy, A. K. Wikström, and S. Cnattingius, “Cause-specific infant mortality in a population-based Swedish study of term and post-term births: the contribution of gestational age and birth weight,” BMJ Open, vol. 2, no. 4, 2012.

R. N. H. Touwslager, A. J. H. M. Houben, M. Gielen et al., “Endothelial vasodilatation in newborns is related to body size and maternal hypertension,” Journal of Hypertension, vol. 30, no. 1, pp. 124–131, 2012.

J. Eriksson, T. Forsén, J. Tuomilehto, C. Osmond, and D. Barker, “Size at birth, childhood growth and obesity in adult life,” International Journal of Obesity, vol. 25, no. 5, pp. 735–740, 2001.

L. E. Simental-Mendía, A. Castañeda-Chacón, M. Rodríguez-Morán, and F. Guerrero-Romero, “Birth-weight, insulin levels, and HOMA-IR in newborns at term,” BMC Pediatr, vol. 12, article 94, 2012.

E. Gesteiro, S. Bastida, and F. J. Sánchez-Muniz, “Insulin resistance markers in term, normoweight neonates. the Mérida cohort,” European Journal of Pediatrics, vol. 168, no. 3, pp. 281–288, 2009.

A. Iannuzzi, M. R. Licenziati, C. Acampora et al., “Preclinical changes in the mechanical properties of abdominal aorta in obese children,” Metabolism, vol. 53, no. 9, pp. 1243–1246, 2004.